Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization

被引:50
作者
Fraser, Robert H. [1 ]
Olthof, Ian [1 ]
Kokelj, Steven V. [2 ]
Lantz, Trevor C. [3 ]
Lacelle, Denis [4 ]
Brooker, Alexander [4 ]
Wolfe, Stephen [5 ]
Schwarz, Steve [6 ]
机构
[1] Nat Resources Canada, CCMEO, Ottawa, ON K1S 5K2, Canada
[2] Northwest Terr Geosci Off, Yellowknife, NT X1A 2L9, Canada
[3] Univ Victoria, Sch Environm Studies, Victoria, BC V8W 2Y2E, Canada
[4] Univ Ottawa, Dept Geog, Ottawa, ON K1N 6N5, Canada
[5] Nat Resources Canada, Geol Survey Canada, Ottawa, ON K1A 0E8, Canada
[6] Govt Northwest Terr, NWT Ctr Geomat, Yellowknife, NT X1A 3S8, Canada
关键词
arctic; change detection; image stacks; disturbance; lakes; slumps; fires; environmental monitoring; cumulative impacts; TUKTOYAKTUK PENINSULA AREA; WESTERN ARCTIC COAST; FOREST DISTURBANCE; NORTH-AMERICA; NDVI TRENDS; AVHRR DATA; CANADA; VEGETATION; PERMAFROST; TUNDRA;
D O I
10.3390/rs61111533
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Satellite remote sensing is a promising technology for monitoring natural and anthropogenic changes occurring in remote, northern environments. It offers the potential to scale-up ground-based, local environmental monitoring efforts to document disturbance types, and characterize their extents and frequencies at regional scales. Here we present a simple, but effective means of visually assessing landscape disturbances in northern environments using trend analysis of Landsat satellite image stacks. Linear trends of the Tasseled Cap brightness, greenness, and wetness indices, when composited into an RGB image, effectively distinguish diverse landscape changes based on additive color logic. Using a variety of reference datasets within Northwest Territories, Canada, we show that the trend composites are effective for identifying wildfire regeneration, tundra greening, fluvial dynamics, thermokarst processes including lake surface area changes and retrogressive thaw slumps, and the footprint of resource development operations and municipal development. Interpretation of the trend composites is aided by a color wheel legend and contextual information related to the size, shape, and location of change features. A companion paper in this issue (Olthof and Fraser) focuses on quantitative methods for classifying these changes.
引用
收藏
页码:11533 / 11557
页数:25
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